Real-parameter Optimization Using Stigmergy
نویسندگان
چکیده
This paper describes the so-called Differential Ant-Stigmergy Algorithm (DASA), which is an extension of the Ant-Colony Optimization for continuous domain. A performance study of the DASA on a benchmark of real-parameter optimization problems is presented. The DASA is compared with a number of evolutionary optimization algorithms including covariance matrix adaptation evolutionary strategy, differential evolution, real-coded memetic algorithm, and continuous estimation of distribution algorithm. The DASA is also compared to some other ant-based methods for continuous optimization. The result obtained indicate a promising performance of the new approach.
منابع مشابه
High-dimensional real-parameter optimization using the differential ant-stigmergy algorithm
Purpose – The purpose of this paper is to present an algorithm for global optimization of high-dimensional real-parameter cost functions. Design/methodology/approach – This optimization algorithm, called differential ant-stigmergy algorithm (DASA), based on a stigmergy observed in colonies of real ants. Stigmergy is a method of communication in decentralized systems in which the individual part...
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